算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
sensors-visualization【设计与创意】Use Newton sensors, viewer backends, example CLI, recording, headless visualization, and debugging routes.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this sub-skill when a task involves Newton sensors, viewer backends, example CLI/browser usage, headless runs, recording/replay, screenshot/frame capture, visualization troubleshooting, or benchmark/example flags.
newton.sensors.SensorContact, SensorFrameTransform, SensorIMU, and SensorTiledCamera.newton.viewer.ViewerNull, ViewerFile, ViewerUSD, ViewerGL, ViewerRTX, ViewerRerun, and ViewerViser.python -m newton.examples, --list, --viewer, --device, --test, --num-frames, --benchmark, and --warp-config.../modeling-simulation/SKILL.md.../solvers-contacts/SKILL.md.../asset-import-export/SKILL.md.../robotics-control/SKILL.md.references/sensors-viewers-examples.md for sensor/viewer APIs, example CLI, and headless/persistent output patterns.references/troubleshooting.md for missing viewer extras, sensor allocation order, OpenGL/Wayland, Rerun/Viser ports, and CLI errors.scripts/check_viewer_sensor_apis.py to inspect public signatures and run a safe ViewerNull/example-list diagnostic.ViewerNull for tests, CI, smoke checks, and headless simulations with no visual output.ViewerUSD or ViewerFile when the user needs a persistent artifact.ViewerGL only when an OpenGL context is expected; prefer headless=True for frame capture.ViewerRerun or ViewerViser when a web/timeline workflow is explicitly needed and the optional dependencies/ports are available.ViewerRTX only when RTX/OVRTX dependencies and a suitable NVIDIA GPU are part of the task.From this sub-skill directory:
python scripts/check_viewer_sensor_apis.py --limit 20
The script imports public sensor/viewer modules, instantiates ViewerNull, and lists installed examples. It does not open a GL window, start servers, download assets, or run a full simulation.